Ιδρυματικό Αποθετήριο [SANDBOX]
Πολυτεχνείο Κρήτης
EN  |  EL

Αναζήτηση

Πλοήγηση

Ο Χώρος μου

On the performance of the mismatched MMSE and LSlinear equalizers

Liavas Athanasios, Tsipouridou,D

Πλήρης Εγγραφή


URI: http://purl.tuc.gr/dl/dias/2311122B-D1EB-4529-AA93-45AAB183F382
Έτος 2007
Τύπος Δημοσίευση σε Περιοδικό με Κριτές
Άδεια Χρήσης
Λεπτομέρειες
Βιβλιογραφική Αναφορά A. P. Liavas , D. Tsipouridou, “On the performance of the mismatched MMSE and LS linear equalizers,” IEEE Trans. Signal Proc., vol. 55, no. 7, pp. 3302–3311, Jul. 2007.doi: 10.1109/TSP.2007.894392 https://doi.org/10.1109/TSP.2007.894392
Εμφανίζεται στις Συλλογές

Περίληψη

We consider two widely referenced trained finite-length linear equalizers, namely, the mismatched minimum mean square error (MMSE) equalizer and the least-squares (LS) equalizer. Using matrix perturbation theory, we express both of them as perturbations of the ideal MMSE equalizer and we derive insightful analytical expressions for their excess mean square error. We observe that, in general, the mismatched MMSE equalizer performs (much) better than the LS equalizer. We attribute this phenomenon to the fact that the LS equalizer implicitly estimates the input second-order statistics, while the mismatched MMSE equalizer uses perfect knowledge. Thus, assuming that the input second-order statistics are known at the receiver, which is usually the case, the use of the mismatched MMSE equalizer is preferable, in general.

Υπηρεσίες

Στατιστικά